Demographics details for Ogema, WI vs Bryantown, MD
Population Overview
Compare main population characteristics in Ogema, WI vs Bryantown, MD.
| Data | Ogema | Bryantown |
|---|---|---|
| Population | 684 | 620 |
| Median Age | 35.0 years | 41.0 years |
| Median Income | $55,000 | $123,785 |
| Married Families | 40.0% | 55.0% |
| Poverty Level | 5% | 4% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Ogema vs Bryantown
- In Ogema, the population is higher at 684, compared to 620 in Bryantown.
- The median age in Bryantown is higher at 41.0 years, compared to 35.0 years in Ogema.
- Bryantown has a higher median income of $123,785, compared to $55,000 in Ogema.
- In Bryantown, the percentage of married families is higher at 55.0%, compared to 40.0% in Ogema.
- Ogema has a higher poverty level at 5% compared to 4% in Bryantown.
- Bryantown has a higher unemployment rate at 3.5% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Bryantown provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Bryantown |
|---|---|---|
| Black | 1 | 20 |
| White | 96 | 60 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 10 |
| Two or More Races | 1 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ogema vs Bryantown
- In Bryantown, the percentage of Black residents is higher at 20% compared to 1% in Ogema.
- Ogema has a higher percentage of White residents at 96% compared to 60% in Bryantown.
- Both Ogema and Bryantown have the same percentage of Asian residents at 0%.
- Bryantown has a higher percentage of Hispanic residents at 10%, compared to 2% in Ogema.
- The percentage of residents identifying as two or more races is higher in Bryantown at 10%, compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Ogema and Bryantown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Bryantown |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.4% |
| Physical Health Not Good | Data is updating% | 9.1% |
| Depression | Data is updating% | 17.9% |
| Smoking | Data is updating% | 13.3% |
| Binge Drinking | Data is updating% | 18.1% |
| Obesity | Data is updating% | 39.0% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Ogema vs Bryantown
- In Bryantown, a higher percentage report poor mental health at 14.4% compared to 0.0% in Ogema.
- Higher depression rates are seen in Bryantown at 17.9% versus 0.0% in Ogema.
- Bryantown has a higher smoking rate at 13.3% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Bryantown at 18.1% compared to 0.0% in Ogema.
- Bryantown has higher obesity rates at 39.0% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Bryantown at 16.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Bryantown |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 4.5% (28) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 33.9% (210) |
Education Levels Comparison: Ogema vs Bryantown
- The percentage of residents with no formal schooling is the same in both Ogema and Bryantown at 0.0%.
- In Bryantown, the rate of residents with high school diplomas is higher at 4.5% compared to 0.0% in Ogema.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- In Bryantown, a larger share of residents have a bachelor's degree or higher at 33.9% compared to 0.0% in Ogema.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.